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Recently, emotion expression of robots have been considered as a very important factor during communication between robots and human. As ways of emotion expression, there is not only verbal information but also nonverbal information such as facial expressions and body movements. In this paper, we focus on body movement, which is one of way for a robot to express its emotions. We propose an emotions...
Learning the dynamics of shape is at the heart of many computer vision problems: object tracking, change detection, longitudinal shape analysis, trajectory classification, etc. In this work we address the problem of statistical inference of diffusion processes of shapes. We formulate a general Itô diffusion on the manifold of deformable landmarks and propose several drift models for the evolution...
Transfer functions and equivalent transformed structures of observed-based linear time-invariant control systems with the deterministic unmeasured disturbance have been found. They allow to simplify analysis of these systems. To determine the transfer functions used in formulas for the cell matrix.
This paper presents an iterative pre-filtering based algorithm for Wiener system identification by using bilinear parameterized formulation. This method assumes the invert ability of the non-linearity involved in the modeling of wiener model. In addition, the output of the linear block is corrupted with noise signal resulting a model with correlated noise disturbance. The least square solution fails...
An implementable blood glucose estimation in computer is presented. In general, the existing effective approaches for measuring the blood glucose concentration are mainly based on blood test, which is painful for patient. Painless methods to obtain blood glucose concentration will dramatically improve the case. As one of the painless methods, this paper implements the blood glucose estimation with...
Pinhole-array-based hand-held light field cameras can be used to capture 4-dimensional light field data for different applications such as digital refocusing and depth estimation. Our previous experiences suggest the design of the pinhole array mask is very critical to the performance of the camera, and the selection of mask parameters could be very different between applications. In this paper, we...
Among the sensorless PMSM speed control algorithms, the non-model based approach, such as high frequency (HF) signal injection (HFSI), is usually taken as to estimate the rotor position of PMSM at standstill and very low speed condition, but the model based approach, such as extended Kalman filter (EKF) is suitable to the low/medium/high speed condition for PMSM drive. Therefore, to obtain a wide-speed...
Haze is mainly occurred by atmospheric phenomena. Recently, many researchers in haze removal algorithm area are using single image. At the single image, we can't use depth information. To estimate the thickness of haze without depth information is not easy. As a result, single image haze removal method includes halo effect. In this paper, we propose halo effect suppression for single image haze removal...
Depression is considered as a psychosomatic state associated with the soft biometric features. People suffering from depression always behave abnormal. Depression is a clinically proven disorder that can overwhelm a person and his ability to perform even a simple task. Soft biometric provides important information about a person without being enough for their verification because they lack uniqueness...
In video surveillance to count the number of people walking through a corridor or door people counting is used. Counting persons passing through supervised area is important issue of this domain. System of people counting is important for security application (such as in the situation of an evacuation, it is vital to know how many people are present inside the surveillance area at any given time),...
With the revolution in the wireless communication and networks there is an increase urge for achieving higher data rates and mobility. The higher data rates give rise to the frequency selective propagation while carrier frequency offset and mobility induced Doppler shift introduces time selectivity in the wireless links, which is termed as Doubly selective. Modeling a Doubly selective channel is a...
Thermal convection and fluid flow in porous media has gained increasing research interest in recent years due to the presence of porous media in many engineering applications. Rough set theory has been regarded as a powerful feasible and effective methodology in the performance of data mining and knowledge discovery activities. This paper introduce a method for building knowledge for the rate of heat...
As electricity markets are liberalized, consumers become exposed to more volatile electricity prices and may decide to modify the profile of their demand to reduce their electricity costs. Therefore, accurate prediction of consumers' reaction to the electricity price changes can be effective in order to increase the profits of producers and consumers. This paper classifies the variety of consumers'...
Video saliency detection is typically performed by combining temporal saliency and spatial saliency, which are detected separately. Among various available techniques, uncertainty-based combination is a unique and promising approach. In this paper, we study the uncertainty of each point within a map generated from video saliency detection. We develop an adaptive temporal correlation-based method for...
A sequential Bayesian approach to density evolution for sparse source reconstruction is proposed and analysed which alternatingly solves a generalized LASSO problem and its dual. Waves are observed by a sensor array. The waves are emitted by a spatially-sparse set of sources. A weighted Laplace-like prior is assumed for the sources such that the maximum a posteriori source estimate at the current...
This paper proposes a new modified approach using Least square algorithm associated with a ridge regression factor and Taylor expansion for estimation of fundamental frequency and phasor of the fundamental frequency component with time varying envelope. The signal considered comprises of decaying dc component and fundamental frequency component which are expressed in terms of Taylor coefficients upto...
One of the main problems in minimum invasive robotic surgery is effective control of the tracking error due to hand tremor. In this paper we review issues of hand tremor using surgical robot and propose a novel technique using wavelet transform with minimum coefficients to get a tremor free signal. In the parameter learning phase the error is minimized with minimum wavelet compression and as time...
In order to solve the collision problems between multiple RFID tags and improve the identification efficiency, this work presents an improved dynamic framed slotted ALOHA Anti-collision algorithm for RFID systems. Based on the time slot distribution information, the algorithm estimates the average number of tags in each collision slot and then dynamically sets the frame size for unrecognized tags...
In this paper, we propose an interference power constraint method using measurement-based spectrum database for high efficient spectrum sharing. The spectrum database is constructed from measurement radio environment information measured by secondary users (SUs) with mobility, and stores radio environment maps (REMs). This paper focuses on a databaseaided communication parameter adaption method which...
This paper presents a novel image haze removal approach from single image. In the algorithm, the constant albedo and dark channel prior methods are combined to represent the transmission model of hazed image. And then, the quick shift segmentation approach is introduced to decompose the input image into some gray level consistent areas. Compared with traditional fixed image partition schemes, better...
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